Episode 9 — Use industry frameworks to organize AI governance and security work (Task 3)
This episode covers how to use industry frameworks to organize AI governance and security work, emphasizing Task 3’s focus on translating external expectations—ethics, privacy, and regulatory pressures—into structured, testable requirements. You’ll learn how frameworks function on the exam: they provide a shared vocabulary, coverage map, and evidence checklist, helping you avoid ad hoc control selection and making your program defensible during audits or contracts. We’ll discuss how to choose an appropriate framework lens based on your AI use case and risk profile, and how to reconcile framework guidance with enterprise security standards so AI does not become a parallel governance track. Examples include using framework categories to drive impact assessment questions, control selection for data handling and monitoring, and documentation practices that prove conformity. The exam-relevant skill is demonstrating structured alignment, not memorizing framework names. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
